BASV - biostat2

Introduction

• Give students an introduction to the programming language R
• Bridge previously obtained theoretical knowledge in the field of Statistics with practical applications to biological data
• Provide strong practical skills in the analysis of large-scale datasets with RStudio

Tidyverse

Replace R base functions by the tidyverse which is now an official CRAN package. Adopt Hadley Wickham philosophy, take each step of data science and simplify the tools. Keeping what make them helpful and removing inconsistent and historic behaviors. His proposed workflow is described as follow in his must-read book R for data science

H. Wickham - R for data science, licence CC

Learning Outcomes

Students’ ability to apply statistical methods to analyze the real-life data, including advance statistical tests.

Beyond biostatistics per se, the final aim is to provide a methodology and framework to work as a data scientist. This encompasses everything from importing raw data to final communication as described by Hadley Wickham. In terms of R packages, the workflow is nicely depicted as in this picture, by David Robinson